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Semantic Information Extraction on Domain Specific Data Sheets [chapter]

Kai Barkschat
2014 Lecture Notes in Computer Science  
This paper focuses on ontology based knowledge modelling for semantic data extraction. Therefore, semantic verification techniques which can be used to improve the extraction are introduced.  ...  The development of information retrieval and extraction systems is still a challenging task. The occurrence of natural language limits the application of existing approaches.  ...  The domain ontology defines the important data categories which have to be extracted. In our setup we worked on high specific domains from the energy sector and the life sciences.  ... 
doi:10.1007/978-3-319-07443-6_60 fatcat:cynzsspbgjcpjnnrpxu2rf3e44

DSAT: Ontology-based Information Extraction on Technical Data Sheets

Kobkaew Opasjumruskit, Diana Peters, Sirko Schindler
2020 International Semantic Web Conference  
Using an Ontology-Based Information Extraction (OBIE) method, the properties of components are extracted from data sheets and subsequently presented in an integrated, web-based interface.  ...  Current engineering design processes oftentimes involve transferring information from manufacturer-provided data sheets into domainspecific design tools.  ...  If a domain-specific ontology is available, DSAT calls upon a server-side information extraction pipeline to automatically detect key-value pairs in data sheets, and the results will be highlighted on  ... 
dblp:conf/semweb/OpasjumruskitPS20 fatcat:v3ofxacxkjdqln2rfwjilj7rty

Preventing adverse drug events by extracting information from drug fact sheets

Stefania Rubrichi, Alex Spengler, Patrick Gallinari, Silvana Quaglini
2010 International Symposium for Semantic Mining in Biomedicine  
A correct drug choice must be modulated to acknowledge both patients' status and drug-specific information. This information is reported in free-text on drug fact sheets.  ...  They have been hand-annotated with fourteen semantic labels that have been derived from a previously developed domain ontology.  ...  A system for NER is thus based on specific knowledge on the domain.  ... 
dblp:conf/smbm/RubrichiSGQ10 fatcat:tn2whf3xunbspizqzkg7nmmlgu

ONTOPRIMA: A Prototype for Automating Ontology Population

Jawad Makki
2017 International journal of Web & Semantic Technology  
The prototype is based on Natural Language Processing (NLP) techniques for language processing, semantic web techniques (RDFS, RDF, Jena APIs) for knowledge modeling and representation and on domain expert's  ...  intervention for validating extracted instances.  ...  For semantic relation extraction, we relied on WordNet [16] in order to expand some specific words with related terms and synonyms.  ... 
doi:10.5121/ijwest.2017.8401 fatcat:4vhv5lcsqndrvbwqfr2etqq6sy

VizCommender: Computing Text-Based Similarity in Visualization Repositories for Content-Based Recommendations [article]

Michael Oppermann, Robert Kincaid, Tamara Munzner
2020 arXiv   pre-print
We also demonstrate what information can be extracted from these visualization specifications and how various natural language processing techniques can be used to compute similarity between workbooks  ...  as the source of content data.  ...  VizRepos, and more specifically visualization workbooks, are based on a set of static visualization specifications that contain information about the data source and any data transformations, how the data  ... 
arXiv:2008.07702v1 fatcat:xkfruewuovhpdletrivetofo4q

A Business Intelligence Model to Predict Bankruptcy using Financial Domain Ontology with Association Rule Mining Algorithm [article]

A.Martin, M.Manjula, Dr.V.Prasanna Venkatesan
2011 arXiv   pre-print
This paper develops an ontological model from financial information of an organization by analyzing the Semantics of the financial statement of a business.  ...  From the financial ontological model the relation between financial data is discovered by using data mining algorithm.  ...  Domain Ontologies Domain ontologies define domain specific conceptualizations and impose descriptions on the domain knowledge structure and content.  ... 
arXiv:1109.1087v1 fatcat:6vn4m52ubrgktdqb2mold2chqi

A Review of Data Representation of Product and Process Models [chapter]

Narges Sajadfar, Yanan Xie, Hongyi Liu, Y.-S. Ma
2013 Springer Series in Advanced Manufacturing  
As a type of semantic data model, a product data model is a set of data in a consistent data structure that ideally represents product information efficiently, effectively, and concisely [8, 20] .  ...  In the current information era, a product data model should satisfy the technical and quality requirements of the whole product lifecycle.  ...  a specific application programming interface (API) function to extract information from existing data sheets or files.  ... 
doi:10.1007/978-1-4471-5073-2_2 fatcat:dhx5of3t2fcxjmksjyhwbj4ena

Doc2RDFa: Semantic Annotation for Web Documents

Martin Beno, Erwin Filtz, Sabrina Kirrane, Axel Polleres
2019 International Conference on Semantic Systems  
Ever since its conception, the amount of data published on the worldwide web has been rapidly growing to the point where it has become an important source of both general and domain specific information  ...  Towards this end, we introduce Doc2RDFa, an HTML rich text processor with the ability to automatically and manually annotate domain-specific content.  ...  Given that the editor itself is domain independent the extraction rules need to be configured for each specific domain.  ... 
dblp:conf/i-semantics/BenoFKP19 fatcat:dgvogbfx6fd7nhg4edwy5vkxkm

Supporting Information Sharing for Re-Use and Analysis of Scientific Research Publication Data

Fajar J. Ekaputra, Marta Sabou, Estefanía Serral, Stefan Biffl
2014 Extended Semantic Web Conference  
(EMSE) domain.  ...  Effective and efficient information sharing for reuse and analysis of scientific data from published research papers is an important challenge for researchers working within the empirical software engineering  ...  SLR extraction sheets, on the other hand, can be used as input for extending the knowledge contained in the SKET.  ... 
dblp:conf/esws/EkaputraSSB14 fatcat:qizandzvw5hwnfxrc5t4vcixvu

Semantic Fusion with Deep Learning and Formal Ontologies for Evaluation of Policies and Initiatives in the Smart City Domain

Nil Kilicay-Ergin, Adrian S. Barb
2021 Applied Sciences  
Decision makers and policy analysts at different administrative levels often lack a holistic view of the problem as there are semantic variations in policy documents due to domain-specific content.  ...  The methodology is demonstrated on the evaluation of smart city initiatives generated at different administrative levels.  ...  Informed Consent Statement: Not applicable. Data Availability Statement: The data used for the research is publicly available on the web.  ... 
doi:10.3390/app112110037 fatcat:7ho5dcitvvft7fbfw7ysguwcdy

A Flexible Architecture for Semantic Annotation and Automated Multimedia Presentation Generation

Payam M. Barnaghi, Sameem Abdul Kareem
2006 International Semantic Web Conference  
This paper introduces an information search and retrieval methodology that employs semantic web technologies for its data representation and reasoning tasks.  ...  Multimedia information system design has been recently influenced by state-of-the-art technologies such as those provided by semantic web.  ...  Content Schema Content-specific information refers to explicit and implicit data obtained from the extracted features and meta-data descriptions.  ... 
dblp:conf/semweb/BarnaghiK06 fatcat:4b4gfbtzznclfefo23epxm7o5i

A System for Probabilistic Linking of Thesauri and Classification Systems

Lisa Posch, Philipp Schaer, Arnim Bleier, Markus Strohmaier
2015 Künstliche Intelligenz  
For creating the links, we build on the Polylingual Labeled Topic Model (PLL-TM).  ...  This paper presents a system which creates and visualizes probabilistic semantic links between concepts in a thesaurus and classes in a classification system.  ...  For extracting the links, we use documents from the Social Science Literature Information System (SOLIS).  ... 
doi:10.1007/s13218-015-0413-9 fatcat:qbiyua4shjgvxk7pk7o3mhcdmq

Extraction Of Technical Information From Normative Documents Using Automated Methods Based On Ontologies : Application To The Iso 15531 Mandate Standard - Methodology And First Results [article]

A.F. Cutting-Decelle, A. Digeon, R.I. Young, J.L. Barraud, P. Lamboley
2018 arXiv   pre-print
We propose here a methodology enabling the extraction of technical information from a given normative corpus, based on a semantic annotation process done according to reference ontologies.  ...  extraction and the software tools available in this domain.  ...  heavily on product data sheets.  ... 
arXiv:1806.02242v2 fatcat:2wuyaz3u6vhuzjoy532vwvbvqy

Towards accessible Semantic Web applications

Lourdes Moreno, Paloma Martínez, Jesús Contreras, Richard Benjamin
2005 International Conference on Dublin Core and Metadata Applications  
In this work we introduce a method for publishing Semantic Web content that establishes separated stages for content selection and its presentation, through Semantic Portal.  ...  The proliferation of Semantic Web technologies and formal ontologies offer a technological opportunity for establishing automatic and advanced methods for accessible Web applications.  ...  This level takes into account the domain ontology where the meaning of each data is expressed in a formal way. • Level 0: Accessibility using style sheets (XSL): Selected data or service is adapted for  ... 
dblp:conf/dc/MorenoMCB05 fatcat:22xjkrh4mrbqhnmrojlwjhuxhi

Enabling social WEB for IoT inducing ontologies from social tagging

Mohammed Alruqimi, Noura Aknin
2019 International Journal of Informatics and Communication Technology (IJ-ICT)  
The evaluation of the algorithm, using a dataset extracted from BibSonomy, demonstrated that the algorithm could effectively learn a domain terminology, and identify more meaningful semantic information  ...  The evaluation of the algorithm, using a dataset extracted from BibSonomy, demonstrated that the algorithm could effectively learn a domain terminology, and identify more meaningful semantic information  ...  Experimental results, on a snapshot of dataset from BibSonomy, showed that the introduced algorithm could effectively capture domain-specific concepts, and enrich these concepts with semantic information  ... 
doi:10.11591/ijict.v8i1.pp19-24 fatcat:6etdtt4syfbkvhdgvoq5cp5r3u
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